A custom sEMG dataset developed with the Myo Armband for hand gesture classification
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Updated
Apr 20, 2020 - Jupyter Notebook
A custom sEMG dataset developed with the Myo Armband for hand gesture classification
🍯 A RxJava library to access Raw EMG data from your Myo 📈 (plus an Android companion App 📱)
Web tools to do research with Myo
Myo armband machine learning EMG dataset of various hand gestures
DIY Myo Gesture Control Arduino-based Controller. Muscle data (EMG, muscle electrodes) are read and processed by simple machine learning algorithm to generate control commands
Identifying eating gestures from Myo armband sensor data
EMG and IMU data recorder GUI for MYO Armband
A Final Project Program, Design and Build of Medical Rehabilitation Device for People with Paralysis on Hand Based on EMG Sensor
Going Contactless with Electromyography sensor as part of Biomedical Instrumentation project.
"ArmKinect" is a Python project focused on reconstructing human arm movements using motion capture and EMG data. It employs inverse kinematics algorithms to calculate joint angles and visualize arm trajectories in 2D and 3D space.
Development of a spinal pattern generator (SPG) model to predict muscle activations at the ankle joint during walking
Software files for the DIYEMG kit
Using VR and EMG, we created a multiplayer experience composed of microgames.
A graphical user interface (GUI) application for selecting and analyzing HDsEMG channels. This tool helps identify and exclude faulty channels (e.g., due to electrode misplacement, corrosion or noisy channels) from HDsEMG recordings.
Remote robot controlling using EMG sensor
Project work's code from the course "Social Technology Lab 1", SDU, Odense, DK.
Implementation and comparison of classification algorithms (OLS, Gaussian classifiers, Naive Bayes) applied to EMG signals for facial expression recognition. Evaluates accuracy across 100 random train/test splits on a 50,000. sample dataset with 5 expression classes
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